How to Use AI in Small Business: Ideas and Practical Applications

At this point, using AI in small business has become a mandatory requirement. There is just no other way to gain a competitive advantage. The level of competition in every industry is skyrocketing, so you must cut your costs and optimize every possible process. This is precisely what AI can do for small businesses, and we’ll tell you how today.

How many companies consider using AI in small business

Using AI in Small Business: Practical Tips from Professionals

Leveraging AI tools can be troublesome for many SMBs because they need help figuring out where to start. Devtorium offers a range of AI software development services, and our developers have expertise in implementing AI into various systems. In this post, they will demystify AI for small businesses, providing insights and examples of successful AI usage.

Bear in mind, that the majority of businesses are either already using or consider implementing AI solutions already. Take a look at stats in the graphs to see what position your company matches currently.

Let’s start with a few general tips to consider when using AI in small business:

  • Start small
    First, you should begin with only targeted AI applications that align with your business goals and resources. For example, if you have an e-commerce site, add a chatbot to enhance customer experience.
  • Data quality matters
    For AI to work accurately, you must be sure that training data is clean and relevant. It’s crucial for minimizing the risk of bias in AI outcomes.
  • Monitor your ROI
    Your BA must analyze all AI projects’ return on investment (ROI) to ensure they deliver value to your business.
  • Collaborate with experts
    Partner with AI specialists or consultants to navigate complex implementation challenges.
Interest in using AI for small business

Real-World Implementations of AI in Small Business

Improving Customer Experience

Adding an AI chatbot to your website or service is the best AI innovation to start with. This virtual assistant can solve many tasks, from answering users’ frequently asked questions to assisting with product recommendations based on their behavior. Moreover, chatbots can learn and adapt over time. Therefore, their accuracy and efficiency in handling customer queries will improve.

Virtual assistants can cut the workload of your human support staff. In turn, they will have time to focus on more complex tasks. Besides, these AI solutions can gather valuable data on customer interactions. Use them as an analytics tool to learn about your audience and make better-targeted business decisions. For example, you can identify trends, understand customer needs, and improve your services overall.

To start using such a chatbot, small businesses can try services like Dialogflow by that uses Google  Al. You can also try to make your own chatbot with LangChain. If you want to go to the next level, check out our case of what a voice bot can do.

Supply Chain Management

Some fantastic ways of using AI in small business that deals with logistics include:

  • Optimizing delivery routes optimization
  • Reducing transportation costs
  • Cutting down on delivery times
  • Increasing logistics efficiency

Also, you can use AI to evaluate supplier performance and manage relationships, ensuring the best terms and reliability. AI-driven supply chain management systems leverage advanced algorithms to analyze vast amounts of data and make real-time decisions that enhance operational efficiency.

AI can also enhance predictive maintenance in logistics. This is done by using data from IoT sensors to anticipate equipment failures and schedule proactive repairs. With this tech, you can minimize downtime and improve your business’s overall reliability.

Moreover, AI-powered demand forecasting models help anticipate customer needs more accurately. Therefore, businesses can adjust production schedules and inventory levels accordingly. By optimizing these processes, AI contributes to cost reduction and enhances the agility of supply chain operations.

Using AI for small businesss: Predictive analytics and security.

Predictive Analytics

One of the best ways to use AI in small business is implementing predictive analytics to analyze your past data and identify patterns. These tools enable you to forecast sales trends, which can make a crucial difference in achieving success.

Efficient use of predictive analytics can help you come up with effective strategies and prevent rash decisions. Furthermore, predictive analytics can optimize inventory management by forecasting demand and caution about overstock or stockouts.

In addition, these AI systems can analyze sales data to identify seasonal trends and customer behavior patterns. You can utilize tools like Salesforce Einstein Analytics to anticipate market shifts.

Visual content

You should consider using AI in small business marketing, especially if you don’t have a dedicated marketing team. Creating and optimizing visual content can be easy using tools like Midjourney or Photoshop’s integrated AI, creating and optimizing visual content can be easy.

For example, some tools today can personalize marketing materials based on user data, creating tailored experiences that appeal more deeply to the target audience. In addition, using generative AI can save time, money, and effort.

Integrating AI into visual content strategies helps businesses stay ahead of the competition by consistently delivering visually compelling content. These tools can streamline the design process by providing instant enhancements and creative ideas, allowing teams to focus on more strategic tasks.


One area where small businesses aren’t using enough AI is cybersecurity. You should definitely make this your priority, as data breaches are a major threat today. Implement AI-powered cybersecurity solutions to detect and mitigate potential threats in real-time. For instance, predictive threat intelligence enables AI to analyze patterns and trends in cyber attack data, forecasting where and how future attacks might occur. Using AI for small business in this particular sphere enables them to strengthen their defenses preemptively.

On other levels, AI enhances email security by detecting phishing attempts and malware-laden messages. This will significantly reduce the risk of successful social engineering attacks. Additionally, AI assists in post-incident analysis, providing valuable insights to understand the nature and scope of breaches, and informing future prevention strategies. This cycle of learning and making changes based on new data ensures that AI-powered cybersecurity solutions remain effective against an ever-changing threat landscape. 

Conclusion: how to best start using AI in small business.

Bottom Line: How to Use AI in Small Business to Get Top Value for Money

To sum it up, small businesses can and should use AI systems to automate processes, make data-driven decisions, and achieve desirable growth. As AI continues to evolve and become more accessible, embracing this technology will be essential for staying ahead of the curve. However, it is challenging to adopt AI for your needs without technical expertise and business analysis. If you want to get maximum benefit from any AI tools or even customize some of them to fit your business needs, set up a free consultation with our experts today.

Prompt Engineering Basics: How to Talk to AI

Being proficient with prompt engineering basics has become an essential skill nowadays. Many of us talk to AI almost daily. Sometimes, it’s even without our knowledge as the number of voice chatbots increases. However, today, we’ll talk specifically about how to talk to generative AI.

Generative AI prompt engineering can be a bit tricky because you aren’t just ‘venting’ to a machine or going through some customer service routines. The goal here is to word your command in such a way that you get the most accurate result. You can use the knowledge of AI prompt engineering to complete a great variety of tasks, from generating an image to developing and programming an AI voice bot.

Moreover, all of these tasks are becoming more relevant with every passing day. According to the CompTIA IT Industry Outlook 2024 report, 22% of companies insist on AI integration in the workflow. The percentage of using AI in daily work by usual employees is even higher. However, only a few know how to interact with AI most efficiently.

Our highly qualified specialists maintain that prompt engineering is the main thing that most GenAI users need to improve. So, with their help, you’ll be able to learn the basics of prompt engineering.

Prompt Engineering Basics: What Is Prompt Engineering?

Prompt engineering is creating inputs as specific instructions for large language models (LLMs, more on that here). 

Generative AI models generate specific outputs based on the quality of provided inputs. We call these inputs prompts, and the practice of writing them is called prompt engineering. 

Prompt engineering helps LLMs better process the incoming tasks to produce desired outputs.

How knowing AI prompt engineering basics benefits you.

Where You Can Apply Prompt Engineering Basics

AI software development

Prompt engineering now plays an active role in software development. You can save a great deal of time time by giving the AI model a clear prompt describing the desired functionality. It suggests code snippets or even complete entire functions. That is very helpful, especially for repetitive tasks. Trained on developer prompts, AI can also analyze existing code and identify potential bugs. If you want to read the opinion of Devtorium`s developers on AI code generation tools, check out this post.

Chatbot development

Prompt engineering allows chatbots to respond more naturally and informatively. You provide them with clear instructions and context for understanding customer inquiries. A better understanding of customer questions leads to improved chatbot responses, which means happier customers and shorter wait times. If you want to create your chatbot, read our blog about Assistant API.

Cybersecurity services

Cybersecurity is another field where understanding prompt engineering basics can help you. Security analysts can leverage prompt engineering to guide AI systems in analyzing network activity and logs. AI can efficiently scan vast amounts of data and flag potential security threats when given prompts with specific indicators of compromise (IOCs) or suspicious behavior patterns. Prompt engineering in cybersecurity empowers security professionals by harnessing AI’s analytical power to identify threats, uncover vulnerabilities, and respond to incidents.

Creative content generation

Prompt engineering allows writers to enhance their efficiency. You can give an AI model a starting point and direction for generating creative text formats like blogs, posts, scripts, or even musical pieces. This frees up the writer to focus on refining and polishing the ideas. The same goes for any kind of content, be it visuals, text, or even music.

AI prompt engineering: basics tips.

Essential Tips on Prompt Engineering Basics

Prompt engineers do not only design and develop prompts. They also operate a wide range of skills and techniques that improve the interaction and development of LLMs. Their work encompasses the following:

  • Zero-shot prompting – instructing LLM without relying on any examples.
  • Few-shot prompting – giving the model a few examples before instructing.
  • Chain-of-thought prompting (CoT) – asking the model to explain its steps every time it performs the instruction.

Here are a few tips that will help you communicate with an AI as a prompt engineer on the basic level:

  • Use clear instructions and ask direct questions. Make the sentences as concise as possible.
  • Provide LLM with context. Use any relevant data for it.
  • Give examples in prompts.
  • Specify the desired output format and length.
  • Align prompt instructions with the task’s end goal.
  • Provide the desired output with styles such as bullet points, tables, numbered lists, inline/block code, quotes, hyperlinks, etc.
  • Let the LLM answer “I don`t know” if needed.
  • Break the complex tasks into subtasks.
  • Use a clear separator like “###” to split the instruction and context.
  • Experiment a lot to see what prompts work best.

Bottom Line: Are Prompt Engineering Basics Enough to Talk to an AI?

So, to sum up, everyone who uses GenAI can learn the easiest prompts to get desired but simple outputs. However, to get more complex results, you will need to have a really good understanding of programming and mathematics. Therefore, if you need to use AI in your project as more than a simple user, contact our team for a free consultation on how to best implement its power for you!


Our website uses cookies

We use cookies and share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided them.